Structure

Physi-Chem Properties

Molecular Weight:  168.08
Volume:  174.125
LogP:  0.673
LogD:  0.723
LogS:  0.041
# Rotatable Bonds:  3
TPSA:  60.69
# H-Bond Aceptor:  3
# H-Bond Donor:  3
# Rings:  1
# Heavy Atoms:  3

MedChem Properties

QED Drug-Likeness Score:  0.59
Synthetic Accessibility Score:  2.057
Fsp3:  0.333
Lipinski Rule-of-5:  Accepted
Pfizer Rule:  Accepted
GSK Rule:  Accepted
BMS Rule:  1
Golden Triangle Rule:  Rejected
Chelating Alert:  1
PAINS Alert:  1

ADMET Properties (ADMETlab2.0)

ADMET: Absorption

Caco-2 Permeability:  -4.551
MDCK Permeability:  1.8077296772389673e-05
Pgp-inhibitor:  0.001
Pgp-substrate:  0.001
Human Intestinal Absorption (HIA):  0.789
20% Bioavailability (F20%):  0.996
30% Bioavailability (F30%):  0.998

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):  0.041
Plasma Protein Binding (PPB):  33.38347625732422%
Volume Distribution (VD):  1.177
Pgp-substrate:  45.684600830078125%

ADMET: Metabolism

CYP1A2-inhibitor:  0.187
CYP1A2-substrate:  0.309
CYP2C19-inhibitor:  0.05
CYP2C19-substrate:  0.067
CYP2C9-inhibitor:  0.033
CYP2C9-substrate:  0.429
CYP2D6-inhibitor:  0.088
CYP2D6-substrate:  0.439
CYP3A4-inhibitor:  0.017
CYP3A4-substrate:  0.157

ADMET: Excretion

Clearance (CL):  16.159
Half-life (T1/2):  0.937

ADMET: Toxicity

hERG Blockers:  0.021
Human Hepatotoxicity (H-HT):  0.034
Drug-inuced Liver Injury (DILI):  0.029
AMES Toxicity:  0.457
Rat Oral Acute Toxicity:  0.191
Maximum Recommended Daily Dose:  0.011
Skin Sensitization:  0.945
Carcinogencity:  0.503
Eye Corrosion:  0.626
Eye Irritation:  0.977
Respiratory Toxicity:  0.052

Download Data

Data Type Select
General Info & Identifiers & Properties  
Structure MOL file  
Source Organisms  
Biological Activities  
Similar NPs/Drugs  

  Natural Product: NPC238647

Natural Product ID:  NPC238647
Common Name*:   SZGDLYGGRGFSLD-UHFFFAOYSA-N
IUPAC Name:   n.a.
Synonyms:  
Standard InCHIKey:  SZGDLYGGRGFSLD-UHFFFAOYSA-N
Standard InCHI:  InChI=1S/C9H12O3/c10-6-2-4-7-3-1-5-8(11)9(7)12/h1,3,5,10-12H,2,4,6H2
SMILES:  c1cc(CCCO)c(c(c1)O)O
Synthetic Gene Cluster:   n.a.
ChEMBL Identifier:   n.a.
PubChem CID:   18982198
Chemical Classification**:  
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0002448] Benzenoids
      • [CHEMONTID:0000134] Phenols
        • [CHEMONTID:0001286] Benzenediols
          • [CHEMONTID:0000135] Catechols

*Note: the InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
**Note: the Chemical Classification was calculated by NPClassifier Version 1.5. Reference: PMID:34662515.

  Species Source

Organism ID Organism Name Taxonomy Level Family SuperKingdom Isolation Part Collection Location Collection Time Reference
NPO17318 Streptomyces cyaneus Species Streptomycetaceae Bacteria n.a. n.a. n.a. PMID[21462031]
NPO15612 Glaucium oxylobum Species Papaveraceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO15612 Glaucium oxylobum Species Papaveraceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO15612 Glaucium oxylobum Species Papaveraceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO3705 Anacardium humile Species Anacardiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO13361 Clerodendrum tomentosum Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO17158 Trichocereus bridgesii Species Cactaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO17318 Streptomyces cyaneus Species Streptomycetaceae Bacteria n.a. n.a. n.a. Database[UNPD]
NPO5124 Aconitum ibukiense Species Ranunculaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO12311 Graphis handelii Species Graphidaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO14653 Haliotis diversicolor Species Haliotidae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO14339 Fevillea trilobata Species Cucurbitaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO25141 Mycetinis alliaceus Species Omphalotaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO15612 Glaucium oxylobum Species Papaveraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO17251 Aniba firmula Species Lauraceae Eukaryota n.a. n.a. n.a. Database[UNPD]

☑ Note for Reference:
In addition to directly collecting NP source organism data from primary literature (where reference will provided as NCBI PMID or DOI links), NPASS also integrated them from below databases:
☉ UNPD: Universal Natural Products Database [PMID: 23638153].
☉ StreptomeDB: a database of streptomycetes natural products [PMID: 33051671].
☉ TM-MC: a database of medicinal materials and chemical compounds in Northeast Asian traditional medicine [PMID: 26156871].
☉ TCM@Taiwan: a Traditional Chinese Medicine database [PMID: 21253603].
☉ TCMID: a Traditional Chinese Medicine database [PMID: 29106634].
☉ TCMSP: The traditional Chinese medicine systems pharmacology database and analysis platform [PMID: 24735618].
☉ HerDing: a herb recommendation system to treat diseases using genes and chemicals [PMID: 26980517].
☉ MetaboLights: a metabolomics database [PMID: 27010336].
☉ FooDB: a database of constituents, chemistry and biology of food species [www.foodb.ca].

  NP Quantity Composition/Concentration

Organism ID NP ID Organism Material Preparation Organism Part NP Quantity (Standard) NP Quantity (Minimum) NP Quantity (Maximum) Quantity Unit Reference

☑ Note for Reference:
In addition to directly collecting NP quantitative data from primary literature (where reference will provided as NCBI PMID or DOI links), NPASS also integrated NP quantitative records for specific NP domains (e.g., NPS from foods or herbs) from domain-specific databases. These databases include:
☉ DUKE: Dr. Duke's Phytochemical and Ethnobotanical Databases.
☉ PHENOL EXPLORER: is the first comprehensive database on polyphenol content in foods [PMID: 24103452], its homepage can be accessed at here.
☉ FooDB: a database of constituents, chemistry and biology of food species [www.foodb.ca].

  Biological Activity

Target ID Target Type Target Name Target Organism Activity Type Activity Relation Value Unit Reference

☑ Note for Activity Records:
☉ The quantitative biological activities were primarily integrated from ChEMBL (Version-30) database and were also directly collected from PubMed literature. PubMed PMID was provided as the reference link for each activity record.

  Chemically structural similarity: I. Similar Active Natural Products in NPASS

Top-200 similar NPs were calculated against the active-NP-set (includes 4,3285 NPs with experimentally-derived bioactivity available in NPASS)

Similarity level is defined by Tanimoto coefficient (Tc) between two molecules. Tc lies between [0, 1] where '1' indicates the highest similarity. What is Tanimoto coefficient

●  The left chart: Distribution of similarity level between NPC238647 and all remaining natural products in the NPASS database.
●  The right table: Most similar natural products (Tc>=0.56 or Top200).

Similarity Score Similarity Level Natural Product ID

  Chemically structural similarity: II. Similar Clinical/Approved Drugs

Similarity level is defined by Tanimoto coefficient (Tc) between two molecules.

●  The left chart: Distribution of similarity level between NPC238647 and all drugs/candidates.
●  The right table: Most similar clinical/approved drugs (Tc>=0.56 or Top200).

Similarity Score Similarity Level Drug ID Developmental Stage

  Bioactivity similarity: Similar Natural Products in NPASS

Bioactivity similarity was calculated based on bioactivity descriptors of compounds. The bioactivity descriptors were calculated by a recently developed AI algorithm Chemical Checker (CC) [Nature Biotechnology, 38:1087–1096, 2020; Nature Communications, 12:3932, 2021], which evaluated bioactivity similarities at five levels:
☉ A: chemistry similarity;
☉ B: biological targets similarity;
☉ C: networks similarity;
☉ D: cell-based bioactivity similarity;
☉ E: similarity based on clinical data.

Those 5 categories of CC bioactivity descriptors were calculated and then subjected to manifold projection using UMAP algorithm, to project all NPs on a 2-Dimensional space. The current NP was highlighted with a small circle in the 2-D map. Below figures: left-to-right, A-to-E.

A: chemistry similarity
B: biological targets similarity
C: networks similarity
D: cell-based bioactivity similarity
E: similarity based on clinical data